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README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: test-automatic-411
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# test-automatic-411
+
+This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0323
+- Accuracy: 1.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 47   | 0.8407          | 0.8171   |
+| No log        | 2.0   | 94   | 0.4243          | 0.9268   |
+| No log        | 3.0   | 141  | 0.2154          | 0.9878   |
+| No log        | 4.0   | 188  | 0.1122          | 0.9878   |
+| No log        | 5.0   | 235  | 0.0755          | 0.9878   |
+| No log        | 6.0   | 282  | 0.0540          | 0.9878   |
+| No log        | 7.0   | 329  | 0.0409          | 1.0      |
+| No log        | 8.0   | 376  | 0.0363          | 1.0      |
+| No log        | 9.0   | 423  | 0.0339          | 1.0      |
+| No log        | 10.0  | 470  | 0.0323          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 2.0.0
+- Datasets 2.11.0
+- Tokenizers 0.13.3